Вакансии

Location: Multiple Countries Nitka Technologies develops software for customers in the US and Europe and brings together about 300 professionals from Eastern Europe, North and South America, Armenia, Georgia and Kazakhstan. We are looking for an experienced DBA (Databricks) for a long-term project. The customer is a company in California, an industry leader in the sale of tickets to events in Europe and the USA. We offer 100%  remote, full-time work. Main tasks: Manage multiple Databricks workspaces (dev/qa/prod); Configure cluster policies, governance & compliance; Create & maintain unity catalog objects: catalogs, schemas, grants, service principals, external storage etc; Monitor and debug failed / long-running jobs using system tables (job_run_timeline, node_timeline, workflow_run); Troubleshoot cluster crashes, driver OOM, executor failures, memory leaks; Investigate Python / Spark errors, dependency conflicts (PyPI, WHL, Maven) Assist users with cluster/job configuration, notebook errors, unity catalog permissions; Explain platform limitations and best practices to Data engineers; Maintain confluence pages with platform rules & troubleshooting guides; Requirements: Experience in implementation, integration or technical support; Experience with Linux, Bash; Confident SQL skills; Strong experience of working with AWS Infrastructure (ec2, s3, iam, vpc, secret management, sqs); Experience with Python sufficient for writing small scripts or applications; Experience of maintaining Databricks jobs & environments; Experience with REST API/SDK; Understanding of file-based databases (DeltaLake, Parquet, Hive); Understanding of of cluster types & node families; Spoken English at Intermediate level or higher; Would be a plus: Databricks REST API / Databricks SDK; Working with schema evolution, time travel, vacuum, compaction, z-order; Debugging corrupted delta tables (conflicting commits, tombstones, missing checkpoints); Understanding of acid implementation on top of object storage; Spark knowledge (jobs, partitions, queries), experience in Kafka or similar technology, familiarity with Terraform / Gitlab CI; Cost monitoring for platform services and objects; Experience in enterprise Data platforms; Working conditions: Nearshore candidates preferred, with availability to work EST or Pacific Time hours Remote work with no time trackers, flexible working hours Full-time (8 hours/day) Attractive USD compensation Paid vacation, holidays, sick leaves

Location: Multiple Countries Nitka Technologies develops software for customers in the US and Europe and brings together about 300 professionals from Eastern Europe, North and South America, Armenia, Georgia and Kazakhstan. We are looking for an experienced Platform Administrator (Databricks) for a long-term project. The customer is a company in California, an industry leader in the sale of tickets to events in Europe and the USA. We offer 100%  remote, full-time work. Main tasks: Manage multiple Databricks workspaces (dev/qa/prod); Configure cluster policies, governance & compliance; Create & maintain unity catalog objects: catalogs, schemas, grants, service principals, external storage etc; Monitor and debug failed / long-running jobs using system tables (job_run_timeline, node_timeline, workflow_run); Troubleshoot cluster crashes, driver OOM, executor failures, memory leaks; Investigate Python / Spark errors, dependency conflicts (PyPI, WHL, Maven) Assist users with cluster/job configuration, notebook errors, unity catalog permissions; Explain platform limitations and best practices to Data engineers; Maintain confluence pages with platform rules & troubleshooting guides; Requirements: Experience in implementation, integration or technical support; Experience with Linux, Bash; Confident SQL skills; Strong experience of working with AWS Infrastructure (ec2, s3, iam, vpc, secret management, sqs); Experience with Python sufficient for writing small scripts or applications; Experience of maintaining Databricks jobs & environments; Experience with REST API/SDK; Understanding of file-based databases (DeltaLake, Parquet, Hive); Understanding of of cluster types & node families; Spoken English at Intermediate level or higher; Would be a plus: Databricks REST API / Databricks SDK; Working with schema evolution, time travel, vacuum, compaction, z-order; Debugging corrupted delta tables (conflicting commits, tombstones, missing checkpoints); Understanding of acid implementation on top of object storage; Spark knowledge (jobs, partitions, queries), experience in Kafka or similar technology, familiarity with Terraform / Gitlab CI; Cost monitoring for platform services and objects; Experience in enterprise Data platforms; Working conditions: Remote work with no time trackers, flexible working hours Full-time (8 hours/day) Attractive USD compensation Paid vacation, holidays, sick leaves

Location: Abu Dhabi, United Arab Emirates Workplace: hybrid At inDrive, a passenger and a driver agree on a price in seconds. What happens next, from the moment the driver accepts the order until the passenger steps out of the car, decides whether that passenger will open inDrive again. We are looking for a Senior Product Manager to own the passenger's ride experience : from driver assignment to a successfully completed trip. You will shape how passengers wait for and meet their driver, how they feel during the ride, and how the trip ends. This role goes beyond screens and flows. Your work will directly affect completed rides, cancellations, passenger trust and retention. Key Responsibilities Own the Ride Experience End-to-End: You will define and evolve the passenger journey after a driver is assigned: waiting for pickup, meeting the driver, the ride itself and the end of the trip. Turn More Matches into Completed Rides: Find and remove the reasons why passengers and drivers cancel after they have agreed on a ride, so that more matched orders end in a successful trip. Make Pickup Predictable: Improve ETA accuracy, driver tracking, pickup point clarity and passenger-driver communication, so that passengers and drivers find each other quickly and without stress. Build Trust and Safety into the Ride: Together with the safety team, develop in-ride features such as trip sharing, route monitoring and emergency tools that help passengers feel safe and in control. Close Every Trip Well: Own the end of the ride: trip summary, payment confirmation, ratings and feedback, and resolving post-trip issues such as disputes or lost items. Experiment and Optimize Continuously: Run A/B tests and iterate on key levers such as waiting rules, notifications, communication tools and cancellation policies. Collaborate Across Domains: Work closely with driver product, safety, maps and geo, payments, customer support and data teams to keep the experience consistent for both sides of the ride. Skills, Knowledge and Expertise 4+ Years in Consumer Marketplaces: Proven track record leading high-scale consumer products, preferably in ride-hailing, delivery, or platforms with offline operational components. Operational & System Understanding: Hands-on grasp of real-world logistics—including ETAs, geolocation, cancellations, and support workflows—alongside two-sided marketplace incentives (passengers vs. drivers). Data & Experimentation Rigor: Skilled in A/B testing, funnel and cohort analysis, and data-driven decision-making under uncertainty to rapidly test bold hypotheses. User-Centric & Safety Mindset: Deep empathy for passenger anxieties during a ride, with the ability to design trust-building UX while treating safety as an absolute product requirement. Cross-Functional Alignment: Proven success collaborating across diverse product teams (Driver Experience, Maps, Safety, Payments, Support) to navigate conflicting priorities and reach consensus. Clear & Strategic Communication: Ability to articulate complex product trade-offs, operational trade-offs, and strategic decisions to both technical teams and executive leadership. Communication: Business-fluent English proficiency (B2/C1+ or equivalent). Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Kathmandu, Nepal Workplace: hybrid This role supports regional supply growth by identifying, engaging, and onboarding fleet partners, as well as maintaining day-to-day relationships with existing accounts. You assist in building the local ecosystem of value-added networks with dealers, insurers, and service providers to strengthen the platform's proposition for fleet operators. Operationally, you monitor driver performance metrics, support partner onboarding workflows, and collaborate with internal teams to resolve operational issues. You execute localized fleet initiatives by translating defined strategies into concrete outreach and partnership activity. Key Responsibilities 1. Partnership Development & Onboarding Find and prospect new fleet partners through outreach, referrals, and research Support contracting end to end, keeping commercial terms and compliance in line Act as the day-to-day contact for fleet partners — handle routine requests and escalate complex ones 2. Strategy Execution & Market Intelligence Execute the local fleet strategy in line with defined goals Track market trends and competitor activity, and share insights to sharpen the fleet value proposition Help identify geographic and category expansion opportunities in your country 3. Ecosystem & Vendor Support Help build and maintain a network of third-party vendors for fleet partners: OEMs & dealers: secure vehicle supply and purchase agreements Banks / leasing companies: help arrange financing for partners Package and pitch bundled offers (e.g. "Vehicle + Finance + Maintenance") to prospective partners 4. Operational Excellence & Analytics Monitor partner-driver KPIs (utilization, acceptance rate, active vehicles, number of rides) Run regular check-ins with partners to surface bottlenecks and flag improvements Work with cross-functional teams (Driver Operations, Marketing, Legal, Finance) for smooth onboarding and payments Skills, Knowledge & Expertise English: B2 level or higher is a must, since the role involves constant work with HQ Negotiation: proven experience managing B2B negotiations and contracts - required Experience: 1–2 years in Business Development or Key Account Management Analytical mindset: confident using data to make decisions; Google Sheets / Excel - required Relationship building: strong interpersonal skills; able to influence external stakeholders Education: Bachelor's degree in Business Administration, Economics or a related field Job Benefits Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location

Location: Limassol, Cyprus Workplace: hybrid At inDrive, a passenger and a driver agree on a price in seconds. What happens next, from the moment the driver accepts the order until the passenger steps out of the car, decides whether that passenger will open inDrive again. We are looking for a Senior Product Manager to own the passenger's ride experience : from driver assignment to a successfully completed trip. You will shape how passengers wait for and meet their driver, how they feel during the ride, and how the trip ends. This role goes beyond screens and flows. Your work will directly affect completed rides, cancellations, passenger trust and retention. Key Responsibilities Own the Ride Experience End-to-End: You will define and evolve the passenger journey after a driver is assigned: waiting for pickup, meeting the driver, the ride itself and the end of the trip. Turn More Matches into Completed Rides: Find and remove the reasons why passengers and drivers cancel after they have agreed on a ride, so that more matched orders end in a successful trip. Make Pickup Predictable: Improve ETA accuracy, driver tracking, pickup point clarity and passenger-driver communication, so that passengers and drivers find each other quickly and without stress. Build Trust and Safety into the Ride: Together with the safety team, develop in-ride features such as trip sharing, route monitoring and emergency tools that help passengers feel safe and in control. Close Every Trip Well: Own the end of the ride: trip summary, payment confirmation, ratings and feedback, and resolving post-trip issues such as disputes or lost items. Experiment and Optimize Continuously: Run A/B tests and iterate on key levers such as waiting rules, notifications, communication tools and cancellation policies. Collaborate Across Domains: Work closely with driver product, safety, maps and geo, payments, customer support and data teams to keep the experience consistent for both sides of the ride. Skills, Knowledge and Expertise 4+ Years in Consumer Marketplaces: Proven track record leading high-scale consumer products, preferably in ride-hailing, delivery, or platforms with offline operational components. Operational & System Understanding: Hands-on grasp of real-world logistics—including ETAs, geolocation, cancellations, and support workflows—alongside two-sided marketplace incentives (passengers vs. drivers). Data & Experimentation Rigor: Skilled in A/B testing, funnel and cohort analysis, and data-driven decision-making under uncertainty to rapidly test bold hypotheses. User-Centric & Safety Mindset: Deep empathy for passenger anxieties during a ride, with the ability to design trust-building UX while treating safety as an absolute product requirement. Cross-Functional Alignment: Proven success collaborating across diverse product teams (Driver Experience, Maps, Safety, Payments, Support) to navigate conflicting priorities and reach consensus. Clear & Strategic Communication: Ability to articulate complex product trade-offs, operational trade-offs, and strategic decisions to both technical teams and executive leadership. Communication: Business-fluent English proficiency (B2/C1+ or equivalent). Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary from 70 700 EUR gross. Final benefits may vary depending on the location.

Location: Cairo, Egypt Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Senior Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 5+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Islamabad, Pakistan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Senior Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 5+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Senior Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 5+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Pretoria, South Africa Workplace: hybrid This role supports regional supply growth by identifying, engaging, and onboarding fleet partners, as well as maintaining day-to-day relationships with existing accounts. You assist in building the local ecosystem of value-added networks with dealers, insurers, and service providers to strengthen the platform's proposition for fleet operators. Operationally, you monitor driver performance metrics, support partner onboarding workflows, and collaborate with internal teams to resolve operational issues. You execute localized fleet initiatives by translating defined strategies into concrete outreach and partnership activity. Key Responsibilities 1. Partnership Development & Onboarding Find and prospect new fleet partners through outreach, referrals, and research Support contracting end to end, keeping commercial terms and compliance in line Act as the day-to-day contact for fleet partners — handle routine requests and escalate complex ones 2. Strategy Execution & Market Intelligence Execute the local fleet strategy in line with defined goals Track market trends and competitor activity, and share insights to sharpen the fleet value proposition Help identify geographic and category expansion opportunities in your country 3. Ecosystem & Vendor Support Help build and maintain a network of third-party vendors for fleet partners: OEMs & dealers: secure vehicle supply and purchase agreements Banks / leasing companies: help arrange financing for partners Package and pitch bundled offers (e.g. "Vehicle + Finance + Maintenance") to prospective partners 4. Operational Excellence & Analytics Monitor partner-driver KPIs (utilization, acceptance rate, active vehicles, number of rides) Run regular check-ins with partners to surface bottlenecks and flag improvements Work with cross-functional teams (Driver Operations, Marketing, Legal, Finance) for smooth onboarding and payments Skills, Knowledge & Expertise English: B2 level or higher is a must, since the role involves constant work with HQ Negotiation: proven experience managing B2B negotiations and contracts - required Experience: 4-8 years in Business Development or Key Account Management Analytical mindset: confident using data to make decisions; Google Sheets / Excel - required Relationship building: strong interpersonal skills; able to influence external stakeholders Education: Bachelor's degree in Business Administration, Economics or a related field Job Benefits Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location

Location: Islamabad, Pakistan Workplace: hybrid This role supports regional supply growth by identifying, engaging, and onboarding fleet partners, as well as maintaining day-to-day relationships with existing accounts. You assist in building the local ecosystem of value-added networks with dealers, insurers, and service providers to strengthen the platform's proposition for fleet operators. Operationally, you monitor driver performance metrics, support partner onboarding workflows, and collaborate with internal teams to resolve operational issues. You execute localized fleet initiatives by translating defined strategies into concrete outreach and partnership activity. Key Responsibilities 1. Partnership Development & Onboarding Find and prospect new fleet partners through outreach, referrals, and research Support contracting end to end, keeping commercial terms and compliance in line Act as the day-to-day contact for fleet partners — handle routine requests and escalate complex ones 2. Strategy Execution & Market Intelligence Execute the local fleet strategy in line with defined goals Track market trends and competitor activity, and share insights to sharpen the fleet value proposition Help identify geographic and category expansion opportunities in your country 3. Ecosystem & Vendor Support Help build and maintain a network of third-party vendors for fleet partners: OEMs & dealers: secure vehicle supply and purchase agreements Banks / leasing companies: help arrange financing for partners Package and pitch bundled offers (e.g. "Vehicle + Finance + Maintenance") to prospective partners 4. Operational Excellence & Analytics Monitor partner-driver KPIs (utilization, acceptance rate, active vehicles, number of rides) Run regular check-ins with partners to surface bottlenecks and flag improvements Work with cross-functional teams (Driver Operations, Marketing, Legal, Finance) for smooth onboarding and payments Skills, Knowledge & Expertise English: B2 level or higher is a must, since the role involves constant work with HQ Negotiation: proven experience managing B2B negotiations and contracts - required Experience: 4–8 years in Business Development or Key Account Management Analytical mindset: confident using data to make decisions; Google Sheets / Excel - required Relationship building: strong interpersonal skills; able to influence external stakeholders Education: Bachelor's degree in Business Administration, Economics or a related field Job Benefits Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location

Location: Limassol, Cyprus Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Senior Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 5+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Help us challenge injustice by creating fair choices for millions of people across in 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary starting from 59 200 EUR gross Final benefits may vary depending on the location.

Location: London, United Kingdom Workplace: remote We’re looking for an experienced Payroll Accounting Manager to join our team and take ownership of payroll accounting operations, ensuring accuracy, compliance, and timely reporting across multiple markets. Key Responsibilities Act as the primary preparer in month-end and quarter-end close calendar, checklist, and reconciliations, and lead the accounting team in monthly and quarterly close flux presentations with management. Take full ownership of payroll accounting functions, including processing, reconciliation, compliance, and reporting. Design and implement robust accounting procedures, internal controls, and compliance mechanisms that align with accounting policies and regulations. Drive the development and deployment of accounting process improvements, with a focus on automation, efficiency, and scaling for company growth. Develop and maintain technical accounting expertise in areas including payroll accounting compliance, processes, and controls. Draft comprehensive accounting policies by leveraging US GAAP technical accounting guidance and collaborating with cross-functional stakeholders. Proactively identify inefficiencies in existing accounting processes and design innovative solutions to address them. Partner with external auditors to facilitate smooth audit processes and ensure timely completion of deliverables. Assist with processing the Company's employee equity grants. Skills, Knowledge & Expertise Have 7+ years of progressive accounting experience, preferably in startup or high-growth environments, including 3+ years of experience in a public company. Hold a Bachelor’s degree in Accounting or Finance, with CPA certification (or equivalent) preferred. Have demonstrated experience with payroll accounting and related compliance requirements Possess a proven track record of successfully leading process improvement initiatives and system implementations. Are proficient in NetSuite or similar accounting software, with experience in financial systems integration. Exhibit exceptional organizational skills with the ability to prioritize and manage multiple workstreams effectively. Have keen attention to detail and unwavering commitment to accuracy. Are a self-starter who is able to work independently, identify issues, and implement solutions without significant oversight. Possess strong analytical skills with the ability to synthesize complex financial information into actionable insights. Have excellent verbal and written communication skills for cross-functional collaboration. Strong Candidates May Have: Experience working in a fast-paced startup environment, particularly in the technology sector. Successfully led accounting system implementations or major upgrades. Expertise in developing and documenting streamlined processes that scale with company growth. Experience with creating automation solutions for accounting workflows. Experience thriving in ambiguity and excelling at developing structure in unstructured environments. Proven track record of identifying inefficient processes and implementing innovative solutions. A proactive approach to anticipating and solving problems before they escalate. Ability to balance strategic thinking with tactical execution. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Abu Dhabi, United Arab Emirates Workplace: remote We’re looking for an experienced Payroll Accounting Manager to join our team and take ownership of payroll accounting operations, ensuring accuracy, compliance, and timely reporting across multiple markets. Key Responsibilities Act as the primary preparer in month-end and quarter-end close calendar, checklist, and reconciliations, and lead the accounting team in monthly and quarterly close flux presentations with management. Take full ownership of payroll accounting functions, including processing, reconciliation, compliance, and reporting. Design and implement robust accounting procedures, internal controls, and compliance mechanisms that align with accounting policies and regulations. Drive the development and deployment of accounting process improvements, with a focus on automation, efficiency, and scaling for company growth. Develop and maintain technical accounting expertise in areas including payroll accounting compliance, processes, and controls. Draft comprehensive accounting policies by leveraging US GAAP technical accounting guidance and collaborating with cross-functional stakeholders. Proactively identify inefficiencies in existing accounting processes and design innovative solutions to address them. Partner with external auditors to facilitate smooth audit processes and ensure timely completion of deliverables. Assist with processing the Company's employee equity grants. Skills, Knowledge & Expertise Have 7+ years of progressive accounting experience, preferably in startup or high-growth environments, including 3+ years of experience in a public company. Hold a Bachelor’s degree in Accounting or Finance, with CPA certification (or equivalent) preferred. Have demonstrated experience with payroll accounting and related compliance requirements Possess a proven track record of successfully leading process improvement initiatives and system implementations. Are proficient in NetSuite or similar accounting software, with experience in financial systems integration. Exhibit exceptional organizational skills with the ability to prioritize and manage multiple workstreams effectively. Have keen attention to detail and unwavering commitment to accuracy. Are a self-starter who is able to work independently, identify issues, and implement solutions without significant oversight. Possess strong analytical skills with the ability to synthesize complex financial information into actionable insights. Have excellent verbal and written communication skills for cross-functional collaboration. Strong Candidates May Have: Experience working in a fast-paced startup environment, particularly in the technology sector. Successfully led accounting system implementations or major upgrades. Expertise in developing and documenting streamlined processes that scale with company growth. Experience with creating automation solutions for accounting workflows. Experience thriving in ambiguity and excelling at developing structure in unstructured environments. Proven track record of identifying inefficient processes and implementing innovative solutions. A proactive approach to anticipating and solving problems before they escalate. Ability to balance strategic thinking with tactical execution. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: New Delhi, India Workplace: remote We’re looking for an experienced Payroll Accounting Manager to join our team and take ownership of payroll accounting operations, ensuring accuracy, compliance, and timely reporting across multiple markets. Key Responsibilities Act as the primary preparer in month-end and quarter-end close calendar, checklist, and reconciliations, and lead the accounting team in monthly and quarterly close flux presentations with management. Take full ownership of payroll accounting functions, including processing, reconciliation, compliance, and reporting. Design and implement robust accounting procedures, internal controls, and compliance mechanisms that align with accounting policies and regulations. Drive the development and deployment of accounting process improvements, with a focus on automation, efficiency, and scaling for company growth. Develop and maintain technical accounting expertise in areas including payroll accounting compliance, processes, and controls. Draft comprehensive accounting policies by leveraging US GAAP technical accounting guidance and collaborating with cross-functional stakeholders. Proactively identify inefficiencies in existing accounting processes and design innovative solutions to address them. Partner with external auditors to facilitate smooth audit processes and ensure timely completion of deliverables. Assist with processing the Company's employee equity grants. Skills, Knowledge & Expertise Have 7+ years of progressive accounting experience, preferably in startup or high-growth environments, including 3+ years of experience in a public company. Hold a Bachelor’s degree in Accounting or Finance, with CPA certification (or equivalent) preferred. Have demonstrated experience with payroll accounting and related compliance requirements Possess a proven track record of successfully leading process improvement initiatives and system implementations. Are proficient in NetSuite or similar accounting software, with experience in financial systems integration. Exhibit exceptional organizational skills with the ability to prioritize and manage multiple workstreams effectively. Have keen attention to detail and unwavering commitment to accuracy. Are a self-starter who is able to work independently, identify issues, and implement solutions without significant oversight. Possess strong analytical skills with the ability to synthesize complex financial information into actionable insights. Have excellent verbal and written communication skills for cross-functional collaboration. Strong Candidates May Have: Experience working in a fast-paced startup environment, particularly in the technology sector. Successfully led accounting system implementations or major upgrades. Expertise in developing and documenting streamlined processes that scale with company growth. Experience with creating automation solutions for accounting workflows. Experience thriving in ambiguity and excelling at developing structure in unstructured environments. Proven track record of identifying inefficient processes and implementing innovative solutions. A proactive approach to anticipating and solving problems before they escalate. Ability to balance strategic thinking with tactical execution. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Mexico City, Mexico Workplace: hybrid As our Regional Operations Supervisor – Vehicle Branding , you will own the end-to-end lifecycle of our vehicle branding initiatives across Latin America—from vendor management to driver activation and financial governance. You will serve as the operational bridge between fleet partners, call center teams, agencies, and key internal departments (Legal, Procurement, Finance) to maximize brand presence on the road. Key Responsibilities Regional Campaign Execution: Oversee and manage vehicle branding projects end-to-end across multiple LATAM countries. Vendor & Fleet Management: Direct daily operations with external agencies, production vendors, and fleet partners for material manufacturing, wrapping, and quality control. Performance & KPI Tracking: Monitor and analyze monthly branding KPIs, wrap longevity, and campaign performance for each country and city. Driver Acquisition & Call Center: Manage call center workflows for driver outreach, wrap appointment scheduling, follow-ups, and driver onboarding. Incentives & Payouts: Structure, verify, and coordinate monthly driver branding incentives and payment distributions. Budget & Financial Governance: Manage branding budgets, Purchase Orders (POs), invoice matching, and monthly financial closures. Cross-Functional Alignment: Work closely with Legal, Procurement, and Finance on contracts, addendums, vendor onboarding, and payment processing. Reporting & Dashboards: Maintain and update operational trackers and reports for branded vehicles, driver statuses, payouts, and ROI. Expansion & Launches: Support new branding initiatives, strategic fleet partnerships, and city/country expansion launches across LATAM. Skills, Knowledge & Expertise Experience: 3+ years of experience in operations, project management, vendor management, logistics, fleet operations, or similar roles, ideally in a fast-paced, multi-country environment. Experience in Rideshare, Delivery, or Mobility tech is a huge advantage Geographic Scope: Proven track record working with or managing vendors and teams across LATAM markets. Financial & Analytical Skills: Experience managing budgets, POs, invoices, and tracking operational KPIs using Excel / Google Sheets. Vendor Control: Strong background in contract management, agency coordination, and physical production/wrap execution. Languages: Native/Fluent Spanish & Advanced English Soft Skills: Outstanding communication, cross-functional project management, problem-solving, and leadership abilities. Job Benefits Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Jakarta, Indonesia Workplace: hybrid inDrive's Forecasting product turns large-scale marketplace data into daily and monthly forecasts of the company's core supply, demand and financial metrics. These forecasts are the backbone of target setting, financial planning and scenario analysis for business teams and leadership. We are looking for a Senior Analyst to own this product: the quality and credibility of the numbers, the planning processes they feed, and the story behind every deviation. You will take over a working production solution (Python, BigQuery) and keep it reliably serving the business — but the core of the role is not modeling for its own sake. It is understanding how the business works: how pricing, incentives, marketing and market events move metrics, how those metrics connect to each other, and what decision-makers need from a forecast to plan with confidence. Key Responsibilities Business & planning Own the forecast as a decision-making product: track plan vs actual, decompose variances into business drivers (seasonality, pricing, incentives, marketing, external events), and explain in business terms why the numbers changed Support company planning cycles: provide forecast baselines for target setting and budgeting, and align assumptions with finance and business stakeholders Build and run scenario ("what-if") analysis for planned interventions: pricing changes, incentive and marketing spend, product launches, market expansion Maintain the dependency logic connecting supply, demand and financial metrics, so that forecasts stay mutually consistent and aggregate correctly across markets Translate ambiguous business questions into measurable forecasting problems; communicate assumptions, uncertainty and limitations clearly to both business and technical audiences Forecast production Run and monitor recurring daily and monthly forecasts: data completeness, sanity checks, run-over-run drift Investigate anomalies end to end — from inputs and business transformations to forecast outputs — getting to the business reason, not just a technical fix Improve models pragmatically: baselines, honest validation, and model choices driven by measurable planning value rather than sophistication. Keep the solution maintainable: readable Python, documentation, versioned changes Skills, Knowledge and Expertise 4+ years in analytics, forecasting or planning roles — for example marketplace or product analytics, demand planning, or decision science Strong understanding of how a business is planned: plan/fact cycles, target setting, driver-based models, unit economics. You see business metrics as a connected system, not as isolated time series Practical command of time-series forecasting — seasonality, holidays, external regressors, structural breaks, missing data — enough to own and improve production models Confident Python (pandas ecosystem): able to maintain and extend an existing production codebase Advanced SQL and experience with large datasets in a cloud data warehouse Rigorous validation habits: appropriate baselines, no data leakage, error metrics tied to business impact Ownership mindset: comfortable investigating issues across data, model, and integration boundaries Professional working proficiency in English and the ability to defend a number in front of senior stakeholders Nice to have: Background in mobility, marketplaces or other supply-and-demand systems Experience supporting financial planning, S&OP or budgeting processes Econometrics and causal inference; marketing-response models (adstock, saturation, investment payback) Hierarchical forecasting across multiple markets Experience owning or supporting production batch pipelines; BigQuery, Git-based workflows, CI/CD Technology environment Python (pandas, NumPy, scikit-learn, Prophet), BigQuery, Databricks, Git and GitHub Actions. This is an analyst role in an engineering-friendly environment: you should be at home in this stack, but deep ML engineering is not the core of the job. Why join us Help us challenge injustice by creating fair choices for millions of people across 48 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid inDrive's Forecasting product turns large-scale marketplace data into daily and monthly forecasts of the company's core supply, demand and financial metrics. These forecasts are the backbone of target setting, financial planning and scenario analysis for business teams and leadership. We are looking for a Senior Analyst to own this product: the quality and credibility of the numbers, the planning processes they feed, and the story behind every deviation. You will take over a working production solution (Python, BigQuery) and keep it reliably serving the business — but the core of the role is not modeling for its own sake. It is understanding how the business works: how pricing, incentives, marketing and market events move metrics, how those metrics connect to each other, and what decision-makers need from a forecast to plan with confidence. Key Responsibilities Business & planning Own the forecast as a decision-making product: track plan vs actual, decompose variances into business drivers (seasonality, pricing, incentives, marketing, external events), and explain in business terms why the numbers changed Support company planning cycles: provide forecast baselines for target setting and budgeting, and align assumptions with finance and business stakeholders Build and run scenario ("what-if") analysis for planned interventions: pricing changes, incentive and marketing spend, product launches, market expansion Maintain the dependency logic connecting supply, demand and financial metrics, so that forecasts stay mutually consistent and aggregate correctly across markets Translate ambiguous business questions into measurable forecasting problems; communicate assumptions, uncertainty and limitations clearly to both business and technical audiences Forecast production Run and monitor recurring daily and monthly forecasts: data completeness, sanity checks, run-over-run drift Investigate anomalies end to end — from inputs and business transformations to forecast outputs — getting to the business reason, not just a technical fix Improve models pragmatically: baselines, honest validation, and model choices driven by measurable planning value rather than sophistication. Keep the solution maintainable: readable Python, documentation, versioned changes Skills, Knowledge and Expertise 4+ years in analytics, forecasting or planning roles — for example marketplace or product analytics, demand planning, or decision science Strong understanding of how a business is planned: plan/fact cycles, target setting, driver-based models, unit economics. You see business metrics as a connected system, not as isolated time series Practical command of time-series forecasting — seasonality, holidays, external regressors, structural breaks, missing data — enough to own and improve production models Confident Python (pandas ecosystem): able to maintain and extend an existing production codebase Advanced SQL and experience with large datasets in a cloud data warehouse Rigorous validation habits: appropriate baselines, no data leakage, error metrics tied to business impact Ownership mindset: comfortable investigating issues across data, model, and integration boundaries Professional working proficiency in English and the ability to defend a number in front of senior stakeholders Nice to have: Background in mobility, marketplaces or other supply-and-demand systems Experience supporting financial planning, S&OP or budgeting processes Econometrics and causal inference; marketing-response models (adstock, saturation, investment payback) Hierarchical forecasting across multiple markets Experience owning or supporting production batch pipelines; BigQuery, Git-based workflows, CI/CD Technology environment Python (pandas, NumPy, scikit-learn, Prophet), BigQuery, Databricks, Git and GitHub Actions. This is an analyst role in an engineering-friendly environment: you should be at home in this stack, but deep ML engineering is not the core of the job. Why join us Help us challenge injustice by creating fair choices for millions of people across 48 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Annual salary from EUR 70 700 gross Final benefits may vary depending on the location.

Location: Mexico City, Mexico Workplace: onsite The Quality Assurance Group Lead combines advanced quality assurance expertise with people management, mentoring, and quality control — ensuring the consistency, accuracy, and effectiveness of quality evaluations within an assigned region, workflow, or operational scope. This role sits between QA Specialist and QA Manager, leading a team of 5–7 QA Specialists within inDrive's CS Operational Excellence department, and reports directly to the QA Manager. Key Responsibilities Lead a team of 5–7 QA Specialists within the assigned scope Distribute and prioritize workload across the team Coach, mentor, and develop QA Specialist competencies Monitor individual and team performance against quality KPIs Conduct regular 1:1s, team meetings, and performance reviews Conduct quality audits and second-level reviews of QA Specialist evaluations Ensure consistent application of quality governance frameworks and evaluation standards Act as the escalation point for complex quality-related questions and methodology disputes Lead calibration sessions to align monitoring results across the team Resolve disagreements related to monitoring results or evaluation methodology Identify trends, recurring mistakes, and systemic quality issues within the assigned scope Prepare quality insights, summaries, and action plans for stakeholders Support the implementation of new QA methodologies, monitoring scenarios, and process updates Participate in QA automation and process-improvement initiatives Provide data-driven recommendations to QA management based on monitoring results Skills, Knowledge & Expertise 3+ years of experience in Customer Support, Quality Assurance, or Operational Excellence Proven experience in quality monitoring, evaluations, and calibration processes Experience coaching, mentoring, or formally coordinating the work of others Experience working in multi-team or multi-vendor (BPO) environments — preferred Strong knowledge of quality frameworks, monitoring methodologies, and calibration standards Excellent analytical skills with the ability to identify trends and systemic patterns Strong written and verbal communication skills; ability to present findings clearly Demonstrated ability to collaborate across functions and levels of the organization Proficiency with QA platforms, dashboards, reporting tools, and performance analytics systems Ability to manage competing priorities and work effectively in a fast-paced environment Bilingual proficiency in Spanish and English (spoken and written) Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.